EchoTik TikTok Seller Search

This skill searches and analyzes TikTok Shop seller (store) data, helping cross-border sellers and marketers discover top-performing stores, benchmark competitors, and evaluate store-level performance across TikTok marketplaces.

Core Concepts

EchoTik is a TikTok Shop analytics platform. This tool lists TikTok Shop stores (sellers) with rich filtering, returning store metrics: total sales, GMV (1d/7d/30d/90d), followers, rating, reviews, positive-feedback rate, delivery rate, response rate, number of promoting influencers, videos, livestreams, and product counts.

Listing date: firstCrawlDt / minFirstCrawlDt / maxFirstCrawlDt use a compact integer format YYYYMMDD (e.g., 20240101 for January 1, 2024).

Pagination quirk: pageSize must be a multiple of 10 (max 100). The official upstream API caps a single page at 10; this tool internally pulls multiple pages of 10 and merges them, so pageSize=50 returns up to 50 merged sellers.

Data Fields

Parameter Guide

Required & Region

Category Filters

GMV & Sales Trend

Seller Type & Sales Channel

Listing Date

Sorting & Pagination

Supported Marketplaces

US (United States), ID (Indonesia), TH (Thailand), PH (Philippines), MY (Malaysia), VN (Vietnam), GB (United Kingdom), MX (Mexico), SG (Singapore), SA (Saudi Arabia), BR (Brazil), ES (Spain), JP (Japan), DE (Germany), IT (Italy), FR (France)

When the user doesn't specify a marketplace, ask or default to US.

调用方式

• API 端点：POST /echotik/listSeller（完整参数/响应/错误码见 references/api.md）
• Python 脚本：python scripts/echotik_list_seller.py '<JSON 参数>' [--inline]
• 成本约束：本工具会消耗积分；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探；需要继续检索时先向用户说明会产生额外消耗。

输出策略（脚本默认行为）：

• 始终将完整响应写入 <cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-echotik-list-seller-<timestamp>.json（<cwd> 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；<session> 取自环境变量 SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错）
• 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
• 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如 total/costToken、最大列表字段的长度 + 前 3 条样本）
• 加 --inline 强制全量打印到 stdout（同样落盘）

读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。

解决认证和积分问题

发生以下异常情况时，采用以下措施来处理：

异常情况

• 未配置API Key：环境变量未配置 LINKFOX_AGENT_API_KEY，也未配置 LINKFOXAGENT_API_KEY。
• 响应401或402状态码
• 响应提示积分或余额不足：消息含"积分余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。

措施

• 优先采用skill内的 onboarding.md 引导解决问题。
• 如找不到 onboarding.md 文件，则加载 /linkfox-onboarding 这个skill并根据它的引导来处理。如未安装请先安装：
  • 下载 https://agent-files.linkfox.com/skills/linkfox-onboarding/release.zip，解压后安装这个skill。如需用户授权才可下载，要询问用户获得授权，你不能自己放弃下载。
• 兜底措施：仅当前面两个措施经过所有努力都走不通时，才提示用户依据 https://skill.linkfox.com/linkfoxskills/guide.htm 指引获取API Key，或去 https://os.linkfox.com/ 补充积分。

Usage Examples

1. Top US stores by total GMV

{
  "region": "US",
  "sellerSortField": 2,
  "sortType": 1,
  "pageSize": 20,
  "pageNum": 1
}

2. Rising cross-border stores in Southeast Asia

{
  "region": "ID",
  "fromFlag": 2,
  "salesTrendFlag": 1,
  "sellerSortField": 2,
  "sortType": 1
}

3. High-GMV livestream-driven stores

{
  "region": "US",
  "salesFlag": 2,
  "minTotalSaleGmv30dAmt": 100000,
  "sellerSortField": 2,
  "sortType": 1
}

4. Recently listed stores

{
  "region": "GB",
  "minFirstCrawlDt": 20250101,
  "sellerSortField": 1,
  "sortType": 1
}

Display Rules

1. Present data clearly: Show results in a table with key columns — store name, region, total sales, 30-day GMV, followers, rating, review count, and number of promoting influencers
2. GMV & sales granularity: When relevant, show 30-day GMV and total sales; mention multi-period breakdowns (1d/7d/30d/90d) are available in the saved JSON
3. Store link: When sellerLink is present, surface it so the user can open the store
4. Store attributes: Show fromFlagText (local/cross-border), salesFlagText (video/livestream), and salesTrendFlagText (trend) to help benchmark competitors
5. Result count: Always inform the user of total records and the current page; suggest pagination or tighter filters when the result set is large
6. No secondary processing: Results are live queries, not stored in a database; secondary SQL/data processing is not available

Important Limitations

1. Region required: region is mandatory; no default is applied by the API.
2. pageSize rule: Must be a multiple of 10 (max 100). Other values may be rejected or adjusted.
3. Category IDs: categoryId / categoryL2Id / categoryL3Id are internal IDs, not human-readable names — obtain them from prior results or the category taxonomy.
4. Listing date format: minFirstCrawlDt / maxFirstCrawlDt use YYYYMMDD integers (e.g. 20240101).
5. Data real-time nature: Results are live queries, not stored in a database; secondary SQL/data processing is not available.
6. Single-store detail: For one store's full profile, use the store-detail skill with the sellerId returned here.

User Expression & Scenario Quick Reference

Applicable — TikTok Shop store/seller discovery and benchmarking:

Not applicable — Needs beyond store listing:

• Single product search or product rankings (use EchoTik product search/rank skills)
• TikTok creator/influencer analytics (follower counts, engagement of creators)
• TikTok video performance analytics (views, likes on specific videos)
• Amazon, Shopee, or other non-TikTok platform data
• Store-level operations: order/logistics/ads management

Boundary judgment: When users say "找店铺" or "竞品店铺", if the intent is to list and filter TikTok Shop stores by sales, GMV, or store attributes, this skill applies. If they want a single store's deep profile, use the store-detail skill with a known sellerId.

积分消耗规则

消耗 4.5 积分。

用户会因积分消耗而支付费用。请充分评估：当需要高频调用本技能，或用户对积分消耗量预期不足时，务必提醒用户，由用户决定是否继续。

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

1. The functionality or purpose described in this skill does not match actual behavior
2. The skill's results do not match the user's intent
3. The user expresses dissatisfaction or praise about this skill
4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.

For more high-quality, professional cross-border e-commerce skills, visit LinkFox Skills.